ve-yyq Goto Github PK
Name: VE-yyq
Type: User
Company: Tongji University
Name: VE-yyq
Type: User
Company: Tongji University
AI education materials for Chinese students, teachers and IT professionals.
Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
Awesome Few-shot learning
Collection for Few-shot Learning
Categorical Depth Distribution Network for Monocular 3D Object Detection (CVPR 2021 Oral)
Self-Supervised Extrinsic Calibration using 3D Spatial Transformer Networks
The Python programming language
The official PyTorch implementation of paper Exploring Categorical Regularization for Domain Adaptive Object Detection (CR-DA-DET)
CS231n 2019年春季学期课程作业
An implementation of our CVPR 2018 work 'Domain Adaptive Faster R-CNN for Object Detection in the Wild'
An unofficial implementation of 'Domain Adaptive Faster R-CNN for Object Detection in the Wild ’
deep learning for image processing including classification and object-detection etc.
DehazeZoo for collecting dehazing methods, datasets, and codes.
Domain Adaptive Faster R-CNN in PyTorch
Implementations of few-shot object detection benchmarks
Few-shot Object Detection via Feature Reweighting
(ECCV 2020) PyTorch implementation of paper "Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild"
This repository contains few-shot learning (FSL) papers mentioned in our FSL survey.
FewX is an open-source toolbox on top of Detectron2 for data-limited instance-level recognition tasks.
Binary and Categorical Focal loss implementation in Keras.
Frustum PointNets for 3D Object Detection from RGB-D Data
Pytorch implementation of Generated Image Quality Assessment
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision (CVPR 2020 Oral)
A Keras implementation of YOLOv3 (Tensorflow backend)
A PyTorch Library for Meta-learning Research
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.